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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 9376
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "including."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ath
    -0.73
    uay
    -0.71
    iny
    -0.69
    rait
    -0.69
    ifi
    -0.66
    olitics
    -0.66
     Chaser
    -0.66
     limbo
    -0.65
    gged
    -0.65
    ²¾
    -0.64
    POSITIVE LOGITS
    among
    0.69
    including
    0.68
     those
    0.68
    ãģ¯
    0.66
     flashbacks
    0.64
    ãĤ´
    0.63
    è¦
    0.62
     INCLUD
    0.62
    worth
    0.61
     pacif
    0.60
    Activations Density 0.067%

    No Known Activations